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      • KCI등재

        북한 생물정보 DB 구축에 의한 남북한 동·식물명 비교 연구

        김남신,金石柱,金英花,정성희 한국환경복원기술학회 2019 한국환경복원기술학회지 Vol.22 No.6

        The object of this research is to compare zoology and botany name caused by language and science differences of South and North Korea since division. Biological data are collected North Korea bio- logical information (flora and fauna, an illustrated flora and fauna book of North Korea, Etc.) and com- pared both side data based on national species list of korea, National Institute of Biological Resources. We could built 3,903 species of flora and 1,487 species flora on biological database. The criteria for comparative method is 5 types (korean name difference, scientific name difference, same species, sim- ilar species, North Korea endemic species). As a results, plants were identified korean name difference (911 species), scientific name difference (614 species), same species (880 species), North Korea en- demic species (1,037 species) of 3,903 species, and animals were korean name difference (685 spe- cies), scientific name difference (104 species), same species (199 species), North Korea endemic spe- cies (226 species) of the 1,492 species. This results are expected to be in application with cooperation study for recovering bioinformatics differences of South and North Korea.

      • KCI등재

        독일 정책 분석을 통한 서식지 생태특성 기반 비오톱 유형 분류 및 조사표 제안

        김남신,정성희,임치홍,최철현,차진열 한국환경복원기술학회 2020 한국환경복원기술학회지 Vol.23 No.5

        This study aims to propose biotope field datasheet and biotope type classification based on habitat-based by analyzing the German biotope system. The German system began in 1976 and has established a habitat-based national biotope classification system. On the other hand, Korea institutionalized in 2018 to build a classification system based on land use and land cover, which is a classification system that does not fully reflect ecosystem in Korea. Germany operates 44 biotope classification systems and 40 biotope field datasheet. Korea uses a single biotope field datasheet regardless of the biotope type. This classification system may not reflect the characteristics of Korea's biotope ecological habitat. The biotope classification system of Korea was proposed by dividing it into five categories: mountain ecology, freshwater ecology, land ecology, coastal ecology, and development area to reflect ecosystem habitat. The biotope type was designed as a system of large-classification-middle-small classification and subdivided into medium-classification and subdivided in each biotope system. The major classifications were classified into 44 categories according to the mountainous biotope(11), freshwater biotope(8), terrestrial biotope (12), coastal biotope(6), and development biotope(7). Unlike Germany, Korea's biotope field datasheet was proposed in five ways according to the classification of major ecosystem types. The results of this study are expected to contribute to the policy suggestion and the utilization of ecosystem conservation because the biotope classification system is classified to reflect the characteristics of ecosystem habitats.

      • KCI등재

        GIS를 이용한 한반도 기온의 시·공간적 분포패턴에 관한 연구

        김남신 한국지형학회 2008 한국지형학회지 Vol.15 No.2

        This study is to construe spatio-temporal characteristics of temperature in cities and changes of climatical regions in analyzing a change of Korea Peninsular climate. We used daily mean air temperature data which was collected in South and North Korea for the past 34 years from 1974 to 2007. We created temperature map of 500m resolution using Inverse Distance Weight in application with adiabatic lapse rate per month in linear relation with height and temperature. In the urbanization area, the data analyzed population in comparison with temperature changes by the year. An annual rising rate of temperature was calculated 0.0056?, and the temperature was increased 2.14? from 1974 to 2107. The south climate region in Korea by the Warmth index was expanded to the middle climate region by the latitude after 1990s. A rise of urban area in mean temperature was 0.5-1.2?, Seoul, metropolitan and cities which were high density of urbanization and industrialization with the population increase between 1980s and 1990s. In case of North Korea, Cities were Pyeongyang, Anju, Gaecheon, Hesan. A rise in cities areas in mean temperature has influence on vegetation, especially secondary growth such as winter buds of pine trees appears built-up area and outskirts in late Autumn. Finally, nowaday we confront diverse natural events over climatical changes, We need a long-term research to survey and analyze an index on the climatical changes to present a systematic approach and solution in the future. 본 연구는 한반도 기온변화를 분석하여 기후대의 변화와 도시지역에서의 기온분포의 시·공간적 특성을 파악하고자 하였다. 분석에 사용된 자료는 1974년부터 2007년까지 34년간 남북의 기상관측소에서 수집된 자료를 활용하였다. 기온은 고도와 선형관계를 갖기 때문에 고도별 월별 기온단열감율을 계산하여 역거리가중법으로 500m 해상도의 분포도를 작성하였다. 도시화 지역에서의 자료는 연도별 인구변화와 기온변화를 비교·분석하였다. 기온의 연간상승율은 0.0056℃로 계산되었는데, 1974년과 2107년에는 2.14℃나 상승한 것으로 나타났다. 기온변화에 따라 온량지수로 구분한 기후대는 남부기후구가 90년대 이후 위도가 크게 상승하는 것으로 분석되었다. 도시지역의 평균기온상승은 80년대와 90년대에 0.5-1.2℃ 상승한 것으로 분석되었다. 기온이 상승한 도시지역은 서울과 광역시 그리고 시단위 지역에서 나타났는데 이들 지역은 80년대와 90년대에 인구증가와 더불어 도시화와 산업화의 속도가 빠르게 진행된 지역이다. 북한의 경우는 평양, 안주시, 개천시, 혜산시에서도 인구증가와 더불어 기온상승 효과가 있는 것으로 나타났다. 도시의 기온상승은 식생에도 영향을 미쳐 소나무의 경우 겨울눈의 이차생장이 늦가을에 대도시의 도심부와 주변부에서 확인되고 있다. 미래의 기후변화에 대해 체계적인 접근과 대응책을 제시하기 위해서는 인덱스를 찾아 장기적인 연구가 필요하다.

      • KCI등재

        백두산 및 개마고원 일대의 지형과 생태⋅환경

        김남신 한국사진지리학회 2019 한국사진지리학회지 Vol.29 No.4

        Aims of this research is to analyze landform and changes of eco-environment of Baekdusan and lava plateau on the Gaema Highlands. Major geomorphological landscape of study area consists of the quaternary glacial landform of last glacial peroid, present periglacial and volcanic landform. Quaternary glacial landform coexist with peri-glacial and volcanic landform on Baekdusan, summit area on lava plateau and ridge area of Mt Gwanmo over average 2,000m area. Landcover of Baekdusan area were classified into mixed forest(35%), needleleaf tree(30%), evergreen needleleaf tree(19%), arable land(11%) by Landsat image(year 2018). By analyzing 415 individual data, flora was 34 species, fauna was 108 species. Indigenous species of Baekdusan was investigated Tiger, Bear, Wolf, and Large-leaf labrador tea, Pungsan spruce, Baekdusan birch, et al. Forest and landform is rapidly progressive destorying due to ever-growing tourists of Baekdusan and mountain logging of North Korea, and forest dieback and wetland decrease cause of global warming. This results are expected to be in application with international co-research for eco-environments conservation and basic information for follow-up research.

      • KCI등재후보

        지도제작에 따른 선형사상의 공간적 오류 개선을 위한 일반화

        김남신 한국지리정보학회 2004 한국지리정보학회지 Vol.7 No.1

        본 연구는 선형사상 일반화에서 사상들 간의 공간적 충돌, 벡터변위에 따른 위치변동 등의 문제를 개선하기 위해 새로운 Simoo 알고리즘을 제안하고자 하였다. Simoo 알고리즘의 원리는 단순화와 완만화를 채택하였다. Simoo 알고리즘에서 사용된 임계치는 수선길이, 편각, 평균 vertex 길이이다. Simoo 알고리즘은 축척별 적용 가능, 지도학적 세련미, 자료점의 위치 변동에 따른 논리적 오류 발생의 감소, 공간현상특징 유지 등의 특징을 갖는다. Simoo 알고리즘의 적용 결과는 Douglas-Peucker 알고리즘과 비교하였다. 그 결과 두 알고리즘에서 해안선과 하계망 길이는 97%이상 유지되었으며, 자료점 제거율은 Simoo보다 Douglas-Peucker 알고리즘이 효과적이었고, 사상들간의 충돌은 Simoo에서 최소화되었다. 선의 곡률과 완만화는 Simoo 적용시 축척에 따라 감소하였다. 결과적으로 Douglas-Peucker보다는 Simoo 알고리즘이 지도학적 일반화에 적합하다고 볼 수 있다. This study aims to suggest new algorithm, named as Simoo, in order to improve spatial conflicts and vector displacement between linear features in generalization of the linear features. Main principles of Simoo algorithm is adoption of simplification and smoothening methods, Tolerance conditions used in Simoo are perpendicular length, external angle, and average vertex length. Main characteristics of Simoo are the application of scale, cartographic refinement, minimization of logical errors, and maintenance of geographical properties. The Simoo was applied through comparison to existing Douglas-Peucker algorithm. Resultantly, maintenance ratios of line such as coastal line and stream network were over 97% in both algorithms. The elimination ratio of vertex points may be more effective in Douglas-Peucker than in Simoo. Spatial conflicts between linear features may be more minimized in Simoo. The curvature and smoothening of lines become decreased in scale in application of Simoo. Finally, Simoo algorithm may be more effective than Douglas-Peucker for cartographic generalization.

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